Senior Data Engineer Azure Databricks Ann Arbor, MI Onsite 4 days/week only on w2

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to GM Warren Global Technical Center or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role This role is for a senior individual contributor in Data Engineering who can independently lead complex technical work, apply strong professional judgment, improve processes and delivery patterns, and move quickly f

Azure Data EngineerIntroduction: As an Azure Data Engineer at International Solutions Group (ISG), you will be responsible for designing and managing data pipelines, developing ETL processes, and implementing data warehouse solutions in cloud environments. You will work with diverse data sources and collaborate with teams to ensure the successful integration of data into unified platforms. Responsibilities: Minimum of 10 years of experience in data engineering with a focus on cloud environments.

Role: Lead Data Engineer (Azure, Snowflake, DB) Location: Remote Duration: Long Term Skill Focus Azure , Snowflake, DB, ETL, Python, Pyspark, SnowSQL Key Responsibilities: Design and develop ETL/ELT pipelines using Azure Data Factory, Snowflake, and DBT. Build and maintain data integration workflows from various data sources to Snowflake. Write efficient and optimized SQL queries for data extraction and transformation. Work with stakeholders to understand business requirements and translate t

Project description The project focuses on designing and delivering scalable cloud-based data engineering solutions on Microsoft Azure. The role will support large-scale data integration, analytics, machine learning, AI solutions, and business intelligence through modern data platforms and automated ETL/ELT pipelines. Responsibilities Design, develop, and optimize ETL/ELT solutions using Azure Databricks, LakeBase, and Spark. Build and deploy large-scale data pipelines supporting analytics, mac